Validation and predictions of coupled finite element and cellular automata model: Influence of the degree of deformation on static recrystallization kinetics case study
Validation and further application of a coupled cellular automata – finite element model to investigate the influence of the degree of deformation on static recrystallization kinetics (SRX) during annealing of low carbon steels after cold rolling is presented within the work. Descriptions of major m...
Gespeichert in:
| Veröffentlicht in: | Materials chemistry and physics 2016-08, Vol.179, p.282-294 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 294 |
|---|---|
| container_issue | |
| container_start_page | 282 |
| container_title | Materials chemistry and physics |
| container_volume | 179 |
| creator | Madej, Lukasz Sitko, Mateusz Radwanski, Krzysztof Kuziak, Roman |
| description | Validation and further application of a coupled cellular automata – finite element model to investigate the influence of the degree of deformation on static recrystallization kinetics (SRX) during annealing of low carbon steels after cold rolling is presented within the work. Descriptions of major model components involving digital material representation finite element model as well as cellular automata approach for explicit static recrystallization simulations are presented. Obtained SRX results for various heating rates after 65% rolling reduction are validated with experimental data to assess the model’s predictive capabilities. Finally, the validated model is used to investigate the influence of inhomogeneous energy distribution, obtained in the sample after rolling to 35, 50 and 65% reductions, on static recrystallization kinetics and grain size evolution.
[Display omitted]
•Multi scale coupled finite element cellular automata approach was validated experimentally.•Qualitative and quantitative model predictive capabilities were confirmed.•Model can be used to predict microstructure under various annealing conditions. |
| doi_str_mv | 10.1016/j.matchemphys.2016.05.040 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1825545359</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0254058416303728</els_id><sourcerecordid>1825545359</sourcerecordid><originalsourceid>FETCH-LOGICAL-c354t-7f333048339e82b62055b140337fb099c2dc600ed88e0b5601bc0c5af5fb3a73</originalsourceid><addsrcrecordid>eNqNUU2P1DAMjRBIDAv_Idy4tDhNM225oREfK620l9VeozRxmAxpU5IUafhF_EzSLQeOSJZsx8_PsR8hbxnUDNjx_aWeVNZnnJbzNdVNeapB1NDCM3JgfTdUnLPmOTlAI9oKRN--JK9SugCwjjF-IL8flXdGZRdmqmZDl4jG6S1NNFiqw7p4NNS62WWk6HHCOT8hNXq_ehWpWnMon1B0Cgb9B3o7W7_irHEjyGekBr9FfMoM2hCnfVqxlEuoaUQdryX23v3aa9_djKWSqFYJC2w119fkhVU-4Zu__oY8fP70cPpa3d1_uT19vKs0F22uOss5h7bnfMC-GY8NCDGyFjjv7AjDoBujjwBo-h5hFEdgowYtlBV25KrjN-TdTrvE8GPFlOXk0raqmjGsSbK-EaIVXAwFOuxQHUNKEa1coptUvEoGchNHXuQ_4shNHAlCFnFK72nvxbLKT4dRJu22mxlXrpGlCe4_WP4Ae0mi_w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1825545359</pqid></control><display><type>article</type><title>Validation and predictions of coupled finite element and cellular automata model: Influence of the degree of deformation on static recrystallization kinetics case study</title><source>Elsevier ScienceDirect Journals Complete - AutoHoldings</source><creator>Madej, Lukasz ; Sitko, Mateusz ; Radwanski, Krzysztof ; Kuziak, Roman</creator><creatorcontrib>Madej, Lukasz ; Sitko, Mateusz ; Radwanski, Krzysztof ; Kuziak, Roman</creatorcontrib><description>Validation and further application of a coupled cellular automata – finite element model to investigate the influence of the degree of deformation on static recrystallization kinetics (SRX) during annealing of low carbon steels after cold rolling is presented within the work. Descriptions of major model components involving digital material representation finite element model as well as cellular automata approach for explicit static recrystallization simulations are presented. Obtained SRX results for various heating rates after 65% rolling reduction are validated with experimental data to assess the model’s predictive capabilities. Finally, the validated model is used to investigate the influence of inhomogeneous energy distribution, obtained in the sample after rolling to 35, 50 and 65% reductions, on static recrystallization kinetics and grain size evolution.
[Display omitted]
•Multi scale coupled finite element cellular automata approach was validated experimentally.•Qualitative and quantitative model predictive capabilities were confirmed.•Model can be used to predict microstructure under various annealing conditions.</description><identifier>ISSN: 0254-0584</identifier><identifier>EISSN: 1879-3312</identifier><identifier>DOI: 10.1016/j.matchemphys.2016.05.040</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Annealing ; Cellular automata ; Cold rolling ; Computer modelling and simulation ; Deformation ; Finite element method ; Joining ; Mathematical models ; Metals ; Recrystallization ; Reduction</subject><ispartof>Materials chemistry and physics, 2016-08, Vol.179, p.282-294</ispartof><rights>2016 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c354t-7f333048339e82b62055b140337fb099c2dc600ed88e0b5601bc0c5af5fb3a73</citedby><cites>FETCH-LOGICAL-c354t-7f333048339e82b62055b140337fb099c2dc600ed88e0b5601bc0c5af5fb3a73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.matchemphys.2016.05.040$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27911,27912,45982</link.rule.ids></links><search><creatorcontrib>Madej, Lukasz</creatorcontrib><creatorcontrib>Sitko, Mateusz</creatorcontrib><creatorcontrib>Radwanski, Krzysztof</creatorcontrib><creatorcontrib>Kuziak, Roman</creatorcontrib><title>Validation and predictions of coupled finite element and cellular automata model: Influence of the degree of deformation on static recrystallization kinetics case study</title><title>Materials chemistry and physics</title><description>Validation and further application of a coupled cellular automata – finite element model to investigate the influence of the degree of deformation on static recrystallization kinetics (SRX) during annealing of low carbon steels after cold rolling is presented within the work. Descriptions of major model components involving digital material representation finite element model as well as cellular automata approach for explicit static recrystallization simulations are presented. Obtained SRX results for various heating rates after 65% rolling reduction are validated with experimental data to assess the model’s predictive capabilities. Finally, the validated model is used to investigate the influence of inhomogeneous energy distribution, obtained in the sample after rolling to 35, 50 and 65% reductions, on static recrystallization kinetics and grain size evolution.
[Display omitted]
•Multi scale coupled finite element cellular automata approach was validated experimentally.•Qualitative and quantitative model predictive capabilities were confirmed.•Model can be used to predict microstructure under various annealing conditions.</description><subject>Annealing</subject><subject>Cellular automata</subject><subject>Cold rolling</subject><subject>Computer modelling and simulation</subject><subject>Deformation</subject><subject>Finite element method</subject><subject>Joining</subject><subject>Mathematical models</subject><subject>Metals</subject><subject>Recrystallization</subject><subject>Reduction</subject><issn>0254-0584</issn><issn>1879-3312</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNUU2P1DAMjRBIDAv_Idy4tDhNM225oREfK620l9VeozRxmAxpU5IUafhF_EzSLQeOSJZsx8_PsR8hbxnUDNjx_aWeVNZnnJbzNdVNeapB1NDCM3JgfTdUnLPmOTlAI9oKRN--JK9SugCwjjF-IL8flXdGZRdmqmZDl4jG6S1NNFiqw7p4NNS62WWk6HHCOT8hNXq_ehWpWnMon1B0Cgb9B3o7W7_irHEjyGekBr9FfMoM2hCnfVqxlEuoaUQdryX23v3aa9_djKWSqFYJC2w119fkhVU-4Zu__oY8fP70cPpa3d1_uT19vKs0F22uOss5h7bnfMC-GY8NCDGyFjjv7AjDoBujjwBo-h5hFEdgowYtlBV25KrjN-TdTrvE8GPFlOXk0raqmjGsSbK-EaIVXAwFOuxQHUNKEa1coptUvEoGchNHXuQ_4shNHAlCFnFK72nvxbLKT4dRJu22mxlXrpGlCe4_WP4Ae0mi_w</recordid><startdate>20160815</startdate><enddate>20160815</enddate><creator>Madej, Lukasz</creator><creator>Sitko, Mateusz</creator><creator>Radwanski, Krzysztof</creator><creator>Kuziak, Roman</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>20160815</creationdate><title>Validation and predictions of coupled finite element and cellular automata model: Influence of the degree of deformation on static recrystallization kinetics case study</title><author>Madej, Lukasz ; Sitko, Mateusz ; Radwanski, Krzysztof ; Kuziak, Roman</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c354t-7f333048339e82b62055b140337fb099c2dc600ed88e0b5601bc0c5af5fb3a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Annealing</topic><topic>Cellular automata</topic><topic>Cold rolling</topic><topic>Computer modelling and simulation</topic><topic>Deformation</topic><topic>Finite element method</topic><topic>Joining</topic><topic>Mathematical models</topic><topic>Metals</topic><topic>Recrystallization</topic><topic>Reduction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Madej, Lukasz</creatorcontrib><creatorcontrib>Sitko, Mateusz</creatorcontrib><creatorcontrib>Radwanski, Krzysztof</creatorcontrib><creatorcontrib>Kuziak, Roman</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Materials chemistry and physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Madej, Lukasz</au><au>Sitko, Mateusz</au><au>Radwanski, Krzysztof</au><au>Kuziak, Roman</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation and predictions of coupled finite element and cellular automata model: Influence of the degree of deformation on static recrystallization kinetics case study</atitle><jtitle>Materials chemistry and physics</jtitle><date>2016-08-15</date><risdate>2016</risdate><volume>179</volume><spage>282</spage><epage>294</epage><pages>282-294</pages><issn>0254-0584</issn><eissn>1879-3312</eissn><abstract>Validation and further application of a coupled cellular automata – finite element model to investigate the influence of the degree of deformation on static recrystallization kinetics (SRX) during annealing of low carbon steels after cold rolling is presented within the work. Descriptions of major model components involving digital material representation finite element model as well as cellular automata approach for explicit static recrystallization simulations are presented. Obtained SRX results for various heating rates after 65% rolling reduction are validated with experimental data to assess the model’s predictive capabilities. Finally, the validated model is used to investigate the influence of inhomogeneous energy distribution, obtained in the sample after rolling to 35, 50 and 65% reductions, on static recrystallization kinetics and grain size evolution.
[Display omitted]
•Multi scale coupled finite element cellular automata approach was validated experimentally.•Qualitative and quantitative model predictive capabilities were confirmed.•Model can be used to predict microstructure under various annealing conditions.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.matchemphys.2016.05.040</doi><tpages>13</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0254-0584 |
| ispartof | Materials chemistry and physics, 2016-08, Vol.179, p.282-294 |
| issn | 0254-0584 1879-3312 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1825545359 |
| source | Elsevier ScienceDirect Journals Complete - AutoHoldings |
| subjects | Annealing Cellular automata Cold rolling Computer modelling and simulation Deformation Finite element method Joining Mathematical models Metals Recrystallization Reduction |
| title | Validation and predictions of coupled finite element and cellular automata model: Influence of the degree of deformation on static recrystallization kinetics case study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T02%3A39%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Validation%20and%20predictions%20of%20coupled%20finite%20element%20and%20cellular%20automata%20model:%20Influence%20of%20the%20degree%20of%20deformation%20on%20static%20recrystallization%20kinetics%20case%20study&rft.jtitle=Materials%20chemistry%20and%20physics&rft.au=Madej,%20Lukasz&rft.date=2016-08-15&rft.volume=179&rft.spage=282&rft.epage=294&rft.pages=282-294&rft.issn=0254-0584&rft.eissn=1879-3312&rft_id=info:doi/10.1016/j.matchemphys.2016.05.040&rft_dat=%3Cproquest_cross%3E1825545359%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1825545359&rft_id=info:pmid/&rft_els_id=S0254058416303728&rfr_iscdi=true |